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SDF is a next-generation build system for data infrastructure
What is it
SDF is a next-generation data infrastructure build system. It compiles data contracts, queries, and policies at once to build code-level, time-level, and access-level dependencies. This makes it a powerful tool for organizations of all sizes that need to manage their data effectively.
Key features
- Scalability: SDF is the first scalable build system for data infrastructure.
- Local execution: SDF enables local execution of SQL development.
- Data governance: SDF enables precise column-level lineage analysis.
- Easy to use: SDF is a powerful and easy-to-use data development platform.
- Cloud-based: SDF runs its engine in the cloud for automated workflows and policy enforcement.
Pros
- SDF is a comprehensive data infrastructure build system that can help organizations of all sizes manage their data effectively.
- SDF is scalable, easy to use, and runs in the cloud, making it a convenient and efficient solution.
- SDF's precise column-level lineage analysis enables organizations to gain a deep understanding of their data and how it is being used.
Cons
- SDF is a relatively new tool, so there may be some limited documentation and community support available.
- SDF is a cloud-based service, which may not be suitable for organizations with strict data security requirements.
Summary
SDF is a powerful and promising data infrastructure build system that can help organizations of all sizes manage their data effectively. It is scalable, easy to use, and runs in the cloud. However, it is important to note that SDF is a relatively new tool, so there may be some limited documentation and community support available. Additionally, SDF is a cloud-based service, which may not be suitable for organizations with strict data security requirements.
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